Open AccessThe applied functional modeling of informative signals in informatively-analytical systems
Author(s) -
V N Tsyganenko,
O B Malkov,
A G Belik
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1260/4/042004
Subject(s) - computer science , reliability (semiconductor) , relevance (law) , data mining , objectivity (philosophy) , reliability engineering , function (biology) , power (physics) , engineering , philosophy , physics , epistemology , quantum mechanics , evolutionary biology , political science , law , biology
The relevance of subject consists in need to improve the reliability of analytical information at its use in control systems of different function. The aim of the work is to create the principles of modeling the primary informative signals used to determine applied complex analytical indicators, which allows solving the problems of forming the most effective control actions. For this purpose, the concept of applied functionality of quantitative information is introduced and a modeling system is proposed, which allows determining the estimates of continuous and discrete values at a given interval according to the criteria of maximum reliability of information presentation in information and analytical systems. The research on applied estimation of electric power on parameters of electric current is conducted. Thus, introduction of a semantic link between initial informative signals and resultant analytical indexes allows to increase their objectivity and reliability.